| |
| | DIMACS Workshop on Analysis of Gene Expression Data |
 | | Normalization, (to enable comparisons between chips), is performed by scaling the gene expression levels of one chip to a control microarray, to a control target intensity, or to another color standard (in the case of printed microarrays). |
 | | The expression level of each gene can be used as a feature influencing the clustering or classification of clinical samples, but usually a clustering or classification rule is biologically plausible, comprehensible and robust only if it is based on a relatively small number of informative features. |
 | | Classified gene expression data consists of tissue samples (for which expression profiles are measured) that are labeled as belonging to certain classes (such as tumor or normal, particular kinds of tumors, phase, differentiation stage, etc). |
| dimacs.rutgers.edu /Workshops/GeneExpression/abstracts.html (6025 words) |
|